Papers with Code 아카이브
Language Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 7
Language identification is the task of determining the language of a text.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/srijith-rkr/kaust-whisper-adapter
공식 코드https://github.com/tharindudr/DeepOffense
공식 코드Multilingual Offensive Language Identification with Cross-lingual Embeddings
https://github.com/tharindudr/aggression-detection-greek
공식 코드https://github.com/tharindudr/mold
공식 코드Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi
https://github.com/thusatlab/bert-lid
공식 코드BERT-LID: Leveraging BERT to Improve Spoken Language Identification
https://github.com/tomkocmi/LanideNN
공식 코드LanideNN: Multilingual Language Identification on Character Window
https://github.com/ubc-nlp/afrolid
공식 코드AfroLID: A Neural Language Identification Tool for African Languages
https://github.com/udibr/LRE
공식 코드A Semisupervised Approach for Language Identification based on Ladder Networks
https://github.com/uds-lsv/da-lang-id
공식 코드https://github.com/valentinhofmann/geoadaptation
공식 코드https://github.com/yilinyang7/fairseq_multi_fix
공식 코드Language-Informed Beam Search Decoding for Multilingual Machine Translation
https://github.com/zengzp0912/SEAME-dev-set
공식 코드On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
https://github.com/Dagobert42/langID-NLP
https://github.com/LauraRuis/LanguageIdentification
The WiLI benchmark dataset for written language identification
https://github.com/MKegler/SpeechVGG
Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
https://github.com/MindCode-4/code-4/tree/main/regnet
From N-grams to Pre-trained Multilingual Models For Language Identification
https://github.com/VadymV/OffensEval
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
https://github.com/ajaech/twitter_langid
Hierarchical Character-Word Models for Language Identification
https://github.com/alaignelet/nlp-sem-eval-2019
Combination of multiple Deep Learning architectures for Offensive Language Detection in Tweets
https://github.com/atharva7k/mms-code-switching
https://github.com/birolkuyumcu/language_identification
The WiLI benchmark dataset for written language identification
https://github.com/causalate-mitigates-bias/causal-ate-mitigates-bias
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
https://github.com/common-voice/cv-dataset
https://github.com/facebookresearch/covost
https://github.com/funaudiollm/cv3-eval
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
https://github.com/gatech-eic/s3-router
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
https://github.com/guxm2021/MM_ALT
https://github.com/guxm2021/alt_speechbrain
https://github.com/guxm2021/svt_speechbrain
https://github.com/jkchen79/netvlad-in-speech
https://github.com/joeykay9/offenseval
Predicting the Type and Target of Offensive Posts in Social Media
https://github.com/maroxtn/tun-sentiment
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
https://github.com/nishkalavallabhi/NLIST2017
https://github.com/renhaa/NordicDSL
https://github.com/rn123/japanese_text_analysis
Finding Structure in Text, Genome and Other Symbolic Sequences
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.